Abstract
The Health Simulation Center SimUSanté performs training sessions for several different healthcare actors. This paper presents in detail the planning problem concerning time and resources encountered by SimUSanté and offers a greedy algorithm SimUG, to solve it. New instances stemmed from the Curriculum-Based Courses Timetabling Problem (CB-CTT) are generated, in order to test SimUG on representative instances. The computational results, which are performed and described, show that SimUG reaches optimality for few instances and provides a solution with a gap inferior to 6% for the others.
This project is supported by region Hauts-de-France and Health Simulation Center SimUSanté.
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Caillard, S., Devendeville, L.B., Lucet, C. (2020). A Planning Problem with Resource Constraints in Health Simulation Center. In: Le Thi, H., Le, H., Pham Dinh, T. (eds) Optimization of Complex Systems: Theory, Models, Algorithms and Applications. WCGO 2019. Advances in Intelligent Systems and Computing, vol 991. Springer, Cham. https://doi.org/10.1007/978-3-030-21803-4_102
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DOI: https://doi.org/10.1007/978-3-030-21803-4_102
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